The original version of ““It was really exciting,” said “, a doctoral student at the University of California, San Diego. Researchers worked to optimize LLL-style algorithms to accommodate bigger inputs, often achieving good performance. Still, some tasks have remained stubbornly out of reach. The new paper, authored by Ryan and his adviser, Nadia Heninger, combines
Homomorphic encryption, a complex technique that uses cryptographic algorithms to keep data secure as it travels around networks and to third parties, continues to elude mass-market scalability and thus adoption — not least because currently, the complexity that makes it so effective also makes it slow and hard to use widely. But in a world
